Dan Zhang’s paper “ϵKTELO: A Framework for Defining Differentially Private Computations (journal version)” was accepted to ACM TODS. Authors: Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau.
Anna Fariha’s paper “Causality-Guided Adaptive Interventional Debugging” was accepted to SIGMOD 2020. Authors: Anna Fariha, Suman Nath, Alexandra Meliou
Gerome Miklau’s PODS paper from 2010 will be awarded the test-of-time award at PODS 2020. This work was done by lab alumni Chao Li, Michael Hay, along with Andrew McGregor. “Optimizing Linear Counting Queries under Differential Privacy” Authors: Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, and Andrew McGregor
Anna Fariha’s demonstration paper “ExTuNe: Explaining Tuple Non-conformance” was accepted to SIGMOD 2020. Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani
Matteo Brucato’s paper “Stochastic Package Queries in Probabilistic Databases” was accepted to SIGMOD 2020. Authors: Matteo Brucato, Azza Abouzied, Peter J. Haas, Alexandra Meliou
Peter J. Haas is a co-PI of a National Science Foundation Grant entitled “Simulation and Decision-Analysis Algorithms for Integrated Modeling of Diseases: A healthy lives for all approach”
Alexandra Meliou’s paper “The Complexity of Resilience for Binary Conjunctive Queries with Self Joins” was accepted to Symposium on Principles of Database Systems (PODS), 2020. Authors: Cibele Freire, Wolfgang Gatterbauer, Neil Immerman, Alexandra Meliou
Peter J. Haas and Alexandra Meliou have received a grant from the National Science Foundation to study In-Database Prescriptive Analytics under Uncertainty.
Ryan McKenna has recently won the National Institute of Standards and Technology’s (NIST) Differential Privacy Synthetic Data Challenge Match #3. The competition tests participants’ ability to identify and develop practical methods for creating differentially private synthetic data sets. The challenges include empirical evaluation of synthetic data generation on common tasks […]
Two papers from DREAM Lab have been recognized as 2018 ACM SIGMOD Research Highlights. Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau were recognized with a 2018 SIGMOD Research Highlight Award for their work on “Ektelo: A Framework for Defining Differentially-Private Computations“. Brian […]